Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances

In modern industry, the quality of maintenance directly influences equipment’s operational uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive maintenance can minimize machine downtime and potential losses. Throughout the field, machine learning (ML) methods have become noteworthy for predicting failures before they occur. However, the efficacy of the predictive maintenance strategy relies on selecting the appropriate data processing method and ML model. Existing surveys do not comprehensively inform users or evaluate the quality of the monitoring systems proposed. Hence, this survey reviews the recent literature on ML-driven condition monitoring systems that have been…

• NS
  Natural Sciences and Engineering Research Council of Canada